A multi-objective hybrid algorithm for feeder reconfiguration and planning of electrical distribution system

In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The opt...

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Bibliographic Details
Published in:Engineering and Applied Science Research (EASR) Vol. 46; no. 4; pp. 292 - 302
Main Authors: Kothuri Ramakrishna, Basavaraja Banakara
Format: Journal Article
Language:English
Published: Khon Kaen University 01.12.2019
Subjects:
feeder reconfiguration
gsa
power loss
tabu search
voltage deviation
ISSN:2539-6161, 2539-6218
Online Access:Get full text
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Summary:In this paper, a multi-objective Gravitational Search Algorithm (GSA) and Tabu search heuristic for feeder reconfiguration and planning of an electrical distribution system are proposed. In this strategy, the GSA has reduced the power losses and voltage deviations using relevant constraints. The optimal sizing of a distributed generator (DG) includes the best location with reduced electrical losses. The Gravitational Search Algorithm (GSA) hastens convergence with integration of a Tabu search heuristic. Then, the proposed multi-objective hybrid algorithm for planning an electrical distribution system is implemented on a MATLAB/Simulink platform. Its effectiveness is scrutinized by contrasting the results of the method under study with those of existing techniques such as ALO, LSA, CALMS and BBO-PSO. This comparison reveals the superiority of the proposed approach and affirms its potential to reduce power losses and voltage deviations.
ISSN:2539-6161
2539-6218
DOI:10.14456/easr.2019.33